This inaugural volume, Breaking Barriers: Accelerating Transitions, brings together papers and abstracts presented at the Conference on Energy, Livestock, and Mobility Transitions, part of the New Energy Forum in Groningen. The publication reflects both the rapid development of the energy transition …

In dit hoofdstuk verkennen we regionale verschillen in leven lang ontwikkelen. We stellen ons de vraag of regionale verschillen in LLO in Nederland voorkomen en zo ja, hoe deze verschillen zijn te verklaren.

Deze bundel is een vervolg op de LLO Monitor 2024, maar niet een tweede versie. Ons doel is nu niet in de eerste plaats om de voortgang van Leven Lang Ontwikkelen in de regio (nog eens) te peilen. In de afgelopen jaren is ons gebleken dat de kennisinstellingen zelf heel verschillend met het thema Leven …

Explainability of AI systems is branded as a solution to the black box problem. The EU AI Act introduces AI explainability as a requirement for high-risk AI systems, including a right to explanation. However, understanding the wording of the requirements and the related provider and deployer obligations …

The increasing penetration of renewable energy (RE) and hydrogen technologies is reshaping the operational requirements of modern decarbonised energy systems, necessitating advanced control strategies to coordinate renewable generation, hydrogen storage, and heterogeneous end‐use demands. This paper …

The transition towards a sustainable and competitive European economy requires new analytical and decision-support frameworks capable of integrating industrial innovation, environmental constraints, and policy governance. This concept note introduces a multi-level approach to understanding the role of …

De sleutel tot ons potentieel

This report analyzes the different legal aspects when establishing a hydrogen hub in the region of Delfzijl. It focuses on hydrogen networks, transport, production, renewable targets, mass balancing and hydrogen distribution, from an European level as well as a Dutch level.

Industrial Cyber-Physical Systems (CPS) are sensitive infrastructure from both safety and economics perspectives, making their reliability critically important. Machine Learning (ML), specifically deep learning, is increasingly integrated in industrial CPS, but the inherent complexity of ML models results …